Literature DB >> 16838128

Non-invasive determination of zero-pressure geometry of arterial aneurysms.

M L Raghavan1, Baoshun Ma, Mark F Fillinger.   

Abstract

Arterial aneurysms are in a pre-deformed state in vivo under non-zero pressure. The ability to determine their zero pressure geometry may help in improving accuracy of determination of stress distribution and reverse estimation of material properties from dynamic imaging data. An approximate method to recover the zero pressure geometry of the AAA is proposed. This method is motivated by the observation that the patterns in displacement field for a given AAA are strikingly consistent in an AAA under all physiological pressures. The basic principle is to leverage this observation to iteratively identify the geometry that when subjected to the in vivo pressure, will recover the geometry reconstructed from in vivo imaging. The methodology is demonstrated and validated using patient-specific AAA models.

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Year:  2006        PMID: 16838128     DOI: 10.1007/s10439-006-9115-7

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  11 in total

1.  Changes in Global and Regional Mechanics Due to Atrial Fibrillation: Insights from a Coupled Finite-Element and Circulation Model.

Authors:  Christian B Moyer; Patrick T Norton; John D Ferguson; Jeffrey W Holmes
Journal:  Ann Biomed Eng       Date:  2015-01-29       Impact factor: 3.934

2.  A computational framework for investigating the positional stability of aortic endografts.

Authors:  Anamika Prasad; Nan Xiao; Xiao-Yan Gong; Christopher K Zarins; C Alberto Figueroa
Journal:  Biomech Model Mechanobiol       Date:  2012-11-10

3.  A Methodology for the Derivation of Unloaded Abdominal Aortic Aneurysm Geometry With Experimental Validation.

Authors:  Santanu Chandra; Vimalatharmaiyah Gnanaruban; Fabian Riveros; Jose F Rodriguez; Ender A Finol
Journal:  J Biomech Eng       Date:  2016-10-01       Impact factor: 2.097

4.  A machine learning approach to investigate the relationship between shape features and numerically predicted risk of ascending aortic aneurysm.

Authors:  Liang Liang; Minliang Liu; Caitlin Martin; John A Elefteriades; Wei Sun
Journal:  Biomech Model Mechanobiol       Date:  2017-04-06

5.  Towards patient-specific risk assessment of abdominal aortic aneurysm.

Authors:  M Breeuwer; S de Putter; U Kose; L Speelman; K Visser; F Gerritsen; R Hoogeveen; R Krams; H van den Bosch; J Buth; T Gunther; B Wolters; E van Dam; F van de Vosse
Journal:  Med Biol Eng Comput       Date:  2008-09-23       Impact factor: 2.602

Review 6.  The role of geometric and biomechanical factors in abdominal aortic aneurysm rupture risk assessment.

Authors:  Samarth S Raut; Santanu Chandra; Judy Shum; Ender A Finol
Journal:  Ann Biomed Eng       Date:  2013-03-19       Impact factor: 3.934

7.  The effects of anisotropy on the stress analyses of patient-specific abdominal aortic aneurysms.

Authors:  Jonathan P Vande Geest; David E Schmidt; Michael S Sacks; David A Vorp
Journal:  Ann Biomed Eng       Date:  2008-04-09       Impact factor: 3.934

8.  Pulsatile arterial wall-blood flow interaction with wall pre-stress computed using an inverse algorithm.

Authors:  Ashish Das; Anup Paul; Michael D Taylor; Rupak K Banerjee
Journal:  Biomed Eng Online       Date:  2015-01-09       Impact factor: 2.819

9.  Growth Description for Vessel Wall Adaptation: A Thick-Walled Mixture Model of Abdominal Aortic Aneurysm Evolution.

Authors:  Andrii Grytsan; Thomas S E Eriksson; Paul N Watton; T Christian Gasser
Journal:  Materials (Basel)       Date:  2017-08-25       Impact factor: 3.623

10.  Improving the efficiency of abdominal aortic aneurysm wall stress computations.

Authors:  Jaime E Zelaya; Sevan Goenezen; Phong T Dargon; Amir-Farzin Azarbal; Sandra Rugonyi
Journal:  PLoS One       Date:  2014-07-09       Impact factor: 3.240

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